2018
DOI: 10.3389/fgene.2018.00051
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Genomic Characterisation of the Indigenous Irish Kerry Cattle Breed

Abstract: Kerry cattle are an endangered landrace heritage breed of cultural importance to Ireland. In the present study we have used genome-wide SNP array data to evaluate genomic diversity within the Kerry population and between Kerry cattle and other European breeds. Patterns of genetic differentiation and gene flow among breeds using phylogenetic trees with ancestry graphs highlighted historical gene flow from the British Shorthorn breed into the ancestral population of modern Kerry cattle. Principal component analy… Show more

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Cited by 29 publications
(26 citation statements)
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References 87 publications
(116 reference statements)
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“…The CSS approach was developed to investigate genomic signatures of selection and has been successful at localizing genes for monogenic and polygenic traits under selection in livestock 24,25,89 . The CSS uses fractional ranks of constituent tests and does not incorporate the statistics with P values, allowing a combination of the evidence of historical selection from different selection tests.…”
Section: Methodsmentioning
confidence: 99%
“…The CSS approach was developed to investigate genomic signatures of selection and has been successful at localizing genes for monogenic and polygenic traits under selection in livestock 24,25,89 . The CSS uses fractional ranks of constituent tests and does not incorporate the statistics with P values, allowing a combination of the evidence of historical selection from different selection tests.…”
Section: Methodsmentioning
confidence: 99%
“…With the advancement of high-throughput genotyping technology, millions of cattle have been genotyped using low, medium or high-density SNP arrays [6,7]. The availability of dense genotype data is a prerequisite to characterize genomic diversity and detect signatures of selection within and between cattle breeds [8][9][10][11][12][13][14]. Moreover, genome-wide association testing between dense array-called genotypes and a broad spectrum of phenotypes revealed thousands of quantitative trait loci (QTL) for complex and monogenic traits [15].…”
Section: Introductionmentioning
confidence: 99%
“…The CSS approach was developed to investigate genomic signatures of selection and has been successful at localizing genes for monogenic and polygenic traits under selection in livestock [24, 25, 95]. The CSS uses fractional ranks of constituent tests and does not incorporate the statistics with P values, allowing a combination of the evidence of historical selection from different selection tests.…”
Section: Methodsmentioning
confidence: 99%